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The Performance Manager builds client relationships, ensures revenue retention, identifies upselling opportunities, and improves product utilization to meet client goals.
Top Skills:
Microsoft SuiteRelevant Software SystemsScreen Share Technologies
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Performance Manager builds client relationships, ensures product utilization, manages accounts, and identifies opportunities for upselling and turnover strategies to drive revenue.
Top Skills:
Microsoft Suite Of TechnologiesScreen Share TechnologiesSoftware Systems
Automotive • Cloud • Greentech • Information Technology • Other • Software • Cybersecurity
The Performance Manager builds and maintains client relationships, ensures client satisfaction through product utilization, and drives revenue retention and growth by collaborating with clients and internal teams.
Top Skills:
Microsoft SuiteRelevant Software SystemsScreen Share Technologies
About the Role
Abnormal Security is looking for a Software Backend Engineer II to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place. As a Software Engineer focused on building systems for Detection’s Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science team.
The ideal candidate would have the following qualities:
- A first principles approach to building scalable, customer-centric solutions
- A drive to solve meaningful & pragmatic problems for real-world people
- An ownership and impact oriented outlook on your efforts and growth
- An ability to iterate in real-time-solving novel problems, quickly and autonomously
An ability to iterate in real-time - solving novel problems, quickly and autonomously
What you will do- Architect, design, build, deploy and maintain Model Serving infrastructure that supports a world-class Detection Engine
- Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today
- Own real-time, near real-time streaming pipelines, and online feature serving services
- Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing
- 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building data-focused solutions.
- Experience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based engineering.
- Familiarity with maintaining real-time and near real-time data pipelines or streaming services
- Experience working with distributed teams, proficient in asynchronous and written communication
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You’re capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability.
- You’re growth driven & looking to increase impact & responsibility over time
- Strong fundamentals in computer science, data structures, and performance optimization.
- BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
- Familiarity with our stack (AWS, K8, Python/Django, Golang, Postgres)
- Experience / passion in building scalable, enterprise-grade applications.
- Experience with web security (eg. OWASP top 10)
- Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.
#LI-RT1
At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.
Base salary range:
$148,800—$175,000 USD
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
